Hector

Xu, Ruifan; Xiao, Youwei; Luo, Jiaolian; Liang, Yun

doi:10.1145/3508352.3549370

Cited by 4 publications

(1 citation statement)

References 26 publications

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“…鉴于此, 急需探索新的跨阶段抽象策略和跨层优化算法, 统一不同设计框架及优化算法之间的接口, 实现架构信息、电路信息和物理信息等的顺畅传递. 例如, 北京大学提出基于多层中间表示的硬件综合框架 [26] , 为多种高层次综合技术与硬件加速器生成方法提供统一的软硬件跨层次抽象表示. 浙江大学、圣母大学 (University of Notre Dame)、上海科技大学等团队合作, 提出联结系统微架构设计与电源传输, 提供统一的抽象模型, 实现在早期设计阶段的电源完整性优化, 并与系统架构完成协同优化 [27,28] .…”

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The shift-left design paradigm of EDA: progress and challenges

LIANG,

ZHUO,

2024

Sci. Sin.-Inf.

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Shift-left and fusion is one of the important innovative design paradigms in the field of electronic design automation (EDA). The traditional EDA flow can be divided into multiple serial design stages, resulting in a long design cycle. Different from the traditional waterfall design paradigm used in EDA design flow, it proposes the use of fusion and parallelization in different stages. More clearly, through the integration and parallelization of adjacent design stages, the design cycle can be optimized effectively, and efficiency can be improved. Shift-left and fusion usually involve sharing data models between different design stages and adopting a new abstraction that can be applied to various stages of EDA flow, including high-level synthesis, logic synthesis, placement and routing, verification, process optimization, etc. In addition, with the help of early data analysis, possible problems in the late stage can be identified and addressed early, thereby reducing development and verification costs. In summary, left shift and fusion are of great importance for improving the efficiency and quality of the EDA flow. This paper will introduce and discuss the progress and challenges of the left-shift and fusion paradigm and look forward to the potential frontier research directions recommended to the National Natural Science Foundation of China.

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